Predictors of Problematic Internet and mobile phone usage in adolescents

  1. López Fernández, Olatz 1
  2. Losada López, José Luis 2
  3. Honrubia Serrano, Ma. Luisa 2
  1. 1 Université Catholique de Louvain
    info

    Université Catholique de Louvain

    Louvain-la-Neuve, Bélgica

    ROR https://ror.org/02495e989

  2. 2 Universitat de Barcelona
    info

    Universitat de Barcelona

    Barcelona, España

    ROR https://ror.org/021018s57

Revista:
Aloma: revista de psicologia, ciències de l'educació i de l'esport

ISSN: 1138-3194

Año de publicación: 2015

Volumen: 33

Número: 2

Páginas: 49-58

Tipo: Artículo

DOI: 10.51698/ALOMA.2015.33.2.49-58 DIALNET GOOGLE SCHOLAR lock_openAcceso abierto editor

Otras publicaciones en: Aloma: revista de psicologia, ciències de l'educació i de l'esport

Objetivos de desarrollo sostenible

Resumen

Aquest estudi utilitza una innovadora estratègia estadística per investigar el paper predictiu que tenen algunes variables en l�ús problemàtic d�Internet i els telèfons mòbils entre els adolescents a Espanya i el Regne Unit. Es va aplicar una enquesta amb factors sociodemogràfics i patrons d�ús de la tecnologia, alhora que es van administrar dues proves: l�Escala de l�Ús Problemàtic d�Internet entre Adolescents (PIEUSA), i l�Escala de l�Ús Problemàtic dels Telèfons Mòbils entre Adolescents (MPPUSA). La mida total de la mostra era de 2228 estudiants d�institut de Barcelona i Londres amb edats entre els 11 i els 18 anys. Les puntuacions en la PIEUSA i la MPPUSA es van transformar en puntuacions normades, i després es van dicotomitzar utilitzant tres criteris estadístics per determinar els punts de tall (és a dir, la mitjana, el percentil 80 i les puntuacions extremes per sota del percentil 25 i per sobre el percentil 75), per tal d�establir la relació entre els variables esmentades i l�ús excessiu de l�Internet o dels telèfons mòbils, a través d�una regressió logística binària. Els resultats indiquen que el millor model predictiu per a ambdós tipus de tecnologia inclou variables sociodemogràfiques com a predictors de puntuacions extremes en l�ús excessiu d�ambues tecnologies, amb un bon grau de sensibilitat, especificitat i precisió de la classificació, a més d�una bona capacitat discriminatòria segons la corba ROC. Es comenten les implicacions d�aquestes troballes.

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Fuente de los datos: Dialnet